ÐApp developers can use the findings of this study as a baseline for transaction processing times in Ethereum, providing valuable information for evaluating the platform's suitability as a backend for prospective ÐApps.
Developers can assess the trade-off between processing time and transaction cost by understanding the impact of gas prices on processing time.
Making informed decisions on prediction models for transaction processing times is crucial for ÐApp developers, with Etherscan Gas Tracker being recommended for cheaper transactions and EthGasStation Gas Price API for other price categories.
A post-hoc study introduced a simple and interpretable alternative model that outperformed existing models for certain transaction categories, emphasizing the importance of context-specific decision-making by developers.
End-users can benefit from understanding the balance between transaction cost and processing time when interacting with ÐApps, especially those where blockchain complexities are exposed, allowing them to make informed gas price choices.
The study conducted by researchers from Queen’s University and Huawei in Canada provides valuable insights for both developers and end-users in optimizing Ethereum transaction speed and cost.
The paper is available on arxiv under CC BY-NC-ND 4.0 DEED license.